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AssemblyAI vs Infercom: Token Pricing, Speed & Intelligence

Full comparison of AssemblyAI and Infercom — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

AssemblyAI

Universal-2 speech-to-text with speaker diarisation and audio intelligence

AssemblyAI provides a speech-to-text and audio intelligence API. Its Universal-2 model offers high-accuracy transcription with built-in speaker diarisation, sentiment analysis, topic detection, and PII redaction. The Nano model targets cost-sensitive batch workloads. Pricing is per audio hour.

TranscriptionSpeaker diarisationSentiment analysisPII redactionMeeting intelligence
Proprietary models

Infercom

EU inference on SambaNova chips — Gemma 4, gpt-oss-120b, Whisper, embeddings

Infercom is an EU-based inference provider running on SambaNova RDU chips, offering Gemma 4 31B, gpt-oss-120b, Whisper Large v3, and E5-Mistral embeddings. Prices are in EUR per 1M tokens, excl. VAT, on a PAYG basis. Suited for European workloads requiring EU infrastructure without the overhead of a sovereign gateway.

EU inferenceEmbeddingsTranscriptionCost-sensitive workloads
Open-weight hostHosts open weights

Key metric comparison

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths and weaknesses

AssemblyAI

Universal-2 includes speaker diarisation, sentiment, topics, and PII redaction out of the box
Audio intelligence features reduce need for post-processing pipelines
Nano tier at $0.10/hour for cost-sensitive batch transcription
LeMUR feature enables LLM-powered Q&A over transcribed audio
Speech and audio only — no general-purpose LLM or image models
Per-hour pricing model differs from token-based LLM APIs
Advanced audio intelligence features add cost on top of base transcription

Infercom

EU-based infrastructure on SambaNova RDU chips
Competitive EUR pricing on Gemma 4 31B and gpt-oss-120b
Covers multiple modalities: chat, speech-to-text, embeddings
PAYG — no minimum spend
EUR pricing excluded from USD cross-provider comparisons
Small model catalog
Newer provider — limited ecosystem integrations

Key differentiators

AssemblyAI

Universal-2 bundles transcription with speaker diarisation, sentiment, topic detection, and PII redaction — plus LeMUR for LLM-powered audio Q&A — in a single API call.

Infercom

EU inference on SambaNova chips covering chat, speech-to-text, and embeddings at competitive EUR rates.

Frequently asked questions

AssemblyAI FAQs

How is AssemblyAI priced?

AssemblyAI charges per audio hour. Universal-2 is $0.37/hour and Nano is $0.10/hour. Additional audio intelligence features (diarisation, sentiment, PII redaction) are priced separately. See assemblyai.com/pricing for current rates.

What is Universal-2?

Universal-2 is AssemblyAI's flagship transcription model with built-in speaker diarisation, sentiment analysis, topic detection, and PII redaction. It is designed for meeting intelligence and call analytics use cases.

What is LeMUR?

LeMUR (Leveraging Large Language Models to Understand Recorded Audio) is an AssemblyAI feature that lets you run LLM-powered Q&A, summarisation, and action-item extraction directly over transcribed audio without building a separate pipeline.

Infercom FAQs

What is Infercom?

Infercom is an EU-based inference provider running on SambaNova RDU chips. It offers Gemma 4 31B, gpt-oss-120b, Whisper Large v3, and E5-Mistral embeddings at PAYG EUR rates. See infercom.ai/pricing for current rates.

Does Infercom offer embeddings?

Yes. Infercom offers E5-Mistral embeddings at EUR 0.13 per 1M input tokens.

Provider resources

AssemblyAI — Universal-2 speech-to-text with speaker diarisation and audio intelligence

AssemblyAI provides a speech-to-text and audio intelligence API. Its Universal-2 model offers high-accuracy transcription with built-in speaker diarisation, sentiment analysis, topic detection, and PII redaction. The Nano model targets cost-sensitive batch workloads. Pricing is per audio hour.

Universal-2 bundles transcription with speaker diarisation, sentiment, topic detection, and PII redaction — plus LeMUR for LLM-powered audio Q&A — in a single API call.

Infercom — EU inference on SambaNova chips — Gemma 4, gpt-oss-120b, Whisper, embeddings

Infercom is an EU-based inference provider running on SambaNova RDU chips, offering Gemma 4 31B, gpt-oss-120b, Whisper Large v3, and E5-Mistral embeddings. Prices are in EUR per 1M tokens, excl. VAT, on a PAYG basis. Suited for European workloads requiring EU infrastructure without the overhead of a sovereign gateway.

EU inference on SambaNova chips covering chat, speech-to-text, and embeddings at competitive EUR rates.

Key strengths compared

AssemblyAI

  • Universal-2 includes speaker diarisation, sentiment, topics, and PII redaction out of the box
  • Audio intelligence features reduce need for post-processing pipelines
  • Nano tier at $0.10/hour for cost-sensitive batch transcription
  • Speech and audio only — no general-purpose LLM or image models
  • Per-hour pricing model differs from token-based LLM APIs

Infercom

  • EU-based infrastructure on SambaNova RDU chips
  • Competitive EUR pricing on Gemma 4 31B and gpt-oss-120b
  • Covers multiple modalities: chat, speech-to-text, embeddings
  • EUR pricing excluded from USD cross-provider comparisons
  • Small model catalog

Key weaknesses compared

AssemblyAI

  • Speech and audio only — no general-purpose LLM or image models
  • Per-hour pricing model differs from token-based LLM APIs
  • Advanced audio intelligence features add cost on top of base transcription

Infercom

  • EUR pricing excluded from USD cross-provider comparisons
  • Small model catalog
  • Newer provider — limited ecosystem integrations

Provider category context

AssemblyAI is a frontier lab, founded in 2017. Infercom is a inference api, founded in 2024. AssemblyAI as a frontier lab trains and serves its own proprietary models. Infercom as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.

How to choose between them

Choose AssemblyAI if you need Meeting intelligence. Choose Infercom if you need EU inference. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.